Doctor of Philosophy in Immunology - Computational and Systems Immunology

The past decade has seen an explosion in the availability of high-throughput datasets spanning information on everything from DNA sequences to RNA transcript abundances, single-cell protein profiles, protein variants and metabolite profiles. These multi-dimensional omics datasets are complex to integrate, visualize and analyze for those not well versed in systems biology and bioinformatics. A new generation of scientists is needed to take advantage of these resources to ask and answer novel important questions in immunology. The CSI track will generate a class of hybrid scientists to identify important problems in immunology and to devise appropriate integrated computational/experimental plans for tackling them. Students in the CSI track will be able to- develop new computational tools that use multiple large-scale publicly available omics datasets to enhance the knowledge of immunology and immunobiology, integrate of new computational omics analysis techniques into existing, well-established genomic data analysis pipelines/frameworks to better understand immunology and enable researchers/clinicians to rapidly leverage omics advancements, develop new and innovative multi-omic simulation and / or visualization methods that make systems immunology accessible to research scientists with no programming experience, thus bridging the gap between computational data mining and human knowledge to extend insight.

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